ai & azure databrick

Acenet

<div><div><b>Experience:</b> 8 to 10 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101280
<br>
<b>Posted on:</b> Jul 21, 2025<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br>
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p>
<p>Job Summary:
<br>
We are looking for an experienced AI &amp; Azure Databricks Engineer to join our growing data engineering and AI solutions team. In this role, you will design, develop, and optimize scalable data pipelines and machine learning workflows using Microsoft Azure and Databricks. You will collaborate with data scientists, analysts, and business stakeholders to deliver reliable, secure, and high-performance data and AI solutions that drive business impact.</p>
<div>Key Responsibilities:
<br>
<ul><li>Design and implement end-to-end data pipelines on Azure Databricks, integrating various data sources (structured and unstructured) using Apache Spark and other modern big data technologies.</li><li>Develop and maintain ETL/ELT processes using Azure Data Factory, Azure Synapse Analytics, and related services.</li><li>Build and deploy scalable machine learning models using Databricks MLflow, PySpark, and Azure Machine Learning.</li><li>Optimize data workflows for performance, scalability, and cost-efficiency in a cloud environment.</li><li>Ensure best practices for data governance, security, and compliance within the Azure ecosystem.</li><li>Collaborate with data scientists, analysts, and business units to understand requirements and translate them into robust technical solutions.</li><li>Automate deployment and monitor pipelines using CI/CD tools and DevOps practices.</li><li>Troubleshoot, debug, and resolve data processing and integration issues in production and development environments.</li><li>Stay up to date with emerging technologies in cloud, AI, and big data ecosystems, and propose innovative solutions to improve our platform.</li></ul></div>
<div>Role Requirements and Qualifications:<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field.</li><li>6+ years of hands-on experience with Azure cloud services, including Azure Databricks, Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, and Azure Machine Learning.</li><li>Strong programming skills in PySpark, Python, and SQL.</li><li>Solid understanding of data modeling, distributed computing, and big data architectures.</li><li>Experience deploying and managing machine learning workflows with MLflow or similar frameworks.</li><li>Familiarity with CI/CD pipelines and version control systems (e.g., Git, Azure DevOps).</li><li>Good understanding of security best practices in cloud data environments (e.g., IAM, encryption, networking).</li><li>Excellent problem-solving skills and ability to work in a collaborative, agile team environment.</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div><br /> <div id='job-id'>Job Id: gt2lvab41tiKzInrKrbVHtD9tie/LABycvRK6UbcUQguI6xwZ2Njzm/q7zpIgnxYloaVb4pIVb9ePISfDCfzrPsk5mQj4qTSr1dP9m+eS4K4rIzJkp4Emb5lqiS4AD2UcZs/</div>

AI & Azure Databrick

The Family Office Company BSC (c)

<div>
 🚀 Join The Family Office as an Associate AI Engineer
 <br/>
 <br/>
 Are you a recent graduate in Computer Science, Software Engineering, or Data Science, ready to turn your passion for AI into real-world impact?
 <br/>
 <br/>
 We&rsquo;re looking for an
 <strong>
  Associate AI Engineer
 </strong>
 to join our team at
 <strong>
  The Family Office (TFO)
 </strong>
 . This role offers hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments
 <br/>
 <br/>
 🌟 Why Join TFO?
 <br/>
 <br/>
 At The Family Office, we live and work by our core values:
 <br/>
 <br/>
 <ul>
  <li>
   Trust
  </li>
  <li>
   Transparency
  </li>
  <li>
   Honesty
  </li>
  <li>
   Commitment
   <br/>
   <br/>
  </li>
 </ul>
 You&rsquo;ll be part of a forward-thinking, collaborative team solving real business problems using advanced AI tools such as Azure OpenAI, MLOps pipelines, and real-time observability platforms
 <br/>
 <br/>
 💼 What You&rsquo;ll Do
 <br/>
 <br/>
 <strong>
  🔧 AI Model Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI.
  </li>
  <li>
   Develop data preprocessing pipelines (cleaning, tokenization, normalization).
  </li>
  <li>
   Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🔁 MLOps &amp; Lifecycle Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking.
  </li>
  <li>
   Monitor model performance using Azure Monitor and Application Insights.
  </li>
  <li>
   Maintain AI notebooks and experiments through Azure AI Studio (Foundry).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🤝 Collaboration &amp; Learning
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Senior AI Engineers, Data Scientists, DataOps, and PlatformOps.
  </li>
  <li>
   Participate in peer reviews, documentation, and continuous learning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ✅ Quality &amp; Delivery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure code quality, documentation standards, and timely delivery.
  </li>
  <li>
   Contribute to testing, validation, and integration of AI solutions into production.
   <br/>
   <br/>
  </li>
 </ul>
 🎓 Who We&rsquo;re Looking For
 <br/>
 <br/>
 <ul>
  <li>
   Recent graduates in Computer Science, AI, ML, or Data Science.
  </li>
  <li>
   Hands-on experience in AI/ML projects.
  </li>
  <li>
   Fast learners with a strong desire to grow in a dynamic, supportive environment.
  </li>
  <li>
   Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals.
   <br/>
   <br/>
  </li>
 </ul>
 🛠️ Tools &amp; Technologies
 <br/>
 <br/>
 <ul>
  <li>
   Languages: Python, SQL, JSON
  </li>
  <li>
   Frameworks: PyTorch, Hugging Face Transformers
  </li>
  <li>
   MLOps: Azure ML, Azure AI Studio, MLflow, DVC
  </li>
  <li>
   DataOps: Azure Data Factory, Synapse, Data Lake
  </li>
  <li>
   Monitoring: Azure Monitor, Application Insights
  </li>
  <li>
   AI: Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI
   <br/>
   <br/>
  </li>
 </ul>
 🌱 Ready to Launch Your AI Career?
 <br/>
 <br/>
 This isn&rsquo;t just a job&mdash;it&rsquo;s your launchpad into the future of enterprise AI. If you're curious, driven, and eager to build real-world solutions with impact, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 📩
 <strong>
  Apply today
 </strong>
 and take the first step toward shaping the future with AI.
 <br/>
 <br/>
 The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value.
 <br/>
 <br/>
 With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
</div>
<br /> <div id='job-id'>Job Id: K/mbGr+mh03yHf/VSY+Yf2Yu2qMKuvIsXpS38dvLKNNAaVDLx9rizuGeh36WoT7+F8SN6i7tk6MEEImWfR+km/aqBgaaanXYGVuJsIOd75MWWvLSAzMrvEYz9bGBq1tUukqMwaPSsJwzGbIruv858w4Y1aM=</div>

Associate AI Engineer (Bahrain)

Technology Next

<p><b>Key Responsibilities:</b></p><ul><li>Develop AI/GenAI applications using <b>Python</b>, <b>FastAPI</b>, and <b>SQL</b></li><li>Research and integrate <b>LLMs</b> like GPT-4o, Claude, LLaMA, Gemini, etc.</li><li>Build <b>Conversational AI</b> and <b>Virtual Assistants</b></li><li>Leverage <b>LangChain</b>, <b>Azure OpenAI</b>, <b>Azure AI Search</b>, <b>Embeddings &amp; Indexing</b></li><li>Work with structured &amp; unstructured data; implement NLP and deep learning models</li><li>Collaborate with teams to deliver AI-driven business insights and applications</li><li>Serve as a technical consultant on AI projects</li></ul><p><b>Must-Have Skills:</b></p><ul><li>3+ years of experience building <b>AI/ML/GenAI</b> solutions</li><li>Strong in <b>Python</b>, <b>SQL</b>, <b>FastAPI</b> (PySpark is a plus)</li><li>Experience with <b>LLMs</b>, <b>NLP</b>, and <b>Conversational AI</b></li><li>Hands-on with <b>Azure AI services</b>, <b>Cosmos DB</b>, <b>Azure Functions</b>, and <b>Blob Storage</b></li><li>Familiarity with <b>LangChain</b>, <b>embedding models</b>, <b>indexing</b>, and <b>cloud deployment</b></li></ul><p>Job Types: Full-time, Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;80,000.00 - &#8377;90,000.00 per month</p><p>Schedule:</p><ul><li>Day shift</li><li>Monday to Friday</li></ul><p>Experience:</p><ul><li>Data Scientist: 5 years (Required)</li><li>Azure: 4 years (Required)</li><li>Python: 2 years (Required)</li></ul><p>Work Location: Remote</p><br /> <div id='job-id'>Job Id: GPWGE4tywSDwpD3t2hu1yKEFZPlkMvB7JpFLALw+R4w9rMg1UlRAtSJHufrdYEdeNbg2c+Kz3G5aY/mE5nm5d/U7PodEgsTLRLrVWjgwNb7KhCV+ruG2L9eN</div>

Azure Data Scientist

GenuineXs LLC

<p><b>About the Role </b></p><p>We are seeking a highly experienced and technically skilled Data Scientist to join our team remotely. This role requires deep expertise in AI/ML development, cloud-based deployments (particularly in Azure), and hands-on experience in scaling proof-of-concepts (POCs) to production. The ideal candidate will have a strong foundation in Python, a thorough understanding of healthcare data standards, and a proven track record in building intelligent data solutions.</p><p><b>Responsibilities </b></p><ul><li>Develop and deploy AI solutions using Python and Azure cloud services.</li><li>Design and implement machine learning models, particularly for natural language processing (NLP) tasks such as:</li><li>Text extraction</li><li>Text classification</li><li>Sentiment analysis</li><li>Named entity recognition (NER)</li><li>Summarization</li><li>Apply RAG (Retriever-Augmented Generation) architectures in real-world NLP use cases.</li><li>Utilize Azure tools and APIs including:</li><li>Azure AI Search</li><li>Azure OpenAI APIs</li><li>Azure SQL Database</li><li>Conduct data preprocessing and transformations using SQL Server and Python.</li><li>Manage data normalization, feature engineering, and data augmentation.</li><li>Work with search algorithms, indexing techniques, and retrieval models; familiarity with Elasticsearch or Azure AI Search is a plus.</li><li>Ensure compliance with healthcare data standards such as HIPAA and FHIR.</li><li>Implement data masking and security techniques for PII/PHI protection.</li><li>Collaborate with cross-functional teams and effectively communicate complex technical concepts to diverse stakeholders.</li><li>Apply best practices for cloud cost management and resource optimization.</li></ul><p><b>Qualifications </b></p><p><b>Must-Haves: </b></p><ul><li>At least 10 years of experience as a Data Scientist.</li><li>Advanced Python proficiency, with hands-on experience in AI/ML development.</li><li>Deep experience with the Azure ecosystem, especially deploying and scaling AI applications.</li><li>Demonstrated ability to scale Proof of Concepts (POCs) into production-ready systems.</li></ul><p><b>Technical Proficiencies: </b></p><ul><li>Python libraries and frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, spaCy.</li><li>Data manipulation and complex querying using SQL Server.</li><li>RAG architecture and retrieval-based NLP systems.</li><li>Cloud infrastructure, deployment, and monitoring using Azure.</li><li>Familiarity with healthcare data regulations (HIPAA, FHIR).</li></ul><p><b>Soft Skills </b></p><ul><li>Strong analytical thinking and attention to detail.</li><li>Effective communication with both technical and non-technical audiences.</li><li>Team collaboration in fast-paced, cross-functional environments.</li></ul><p>Job Type: Contract</p><p>Schedule:</p><ul><li>8 hour shift</li><li>Day shift</li><li>Monday to Friday</li></ul><p>Application Question(s):</p><ul><li>Do you have at least 10 years of experience as a Data Scientist?</li><li>Do you have advanced Python proficiency, with hands-on experience in AI/ML development?</li><li>Do you have deep experience with the Azure ecosystem, especially deploying and scaling AI applications. </li><li>Have you demonstrated ability to scale Proof of Concepts (POCs) into production-ready systems. </li></ul><p>Work Location: Remote</p><br /> <div id='job-id'>Job Id: 13sxO9MftrS1xi2Q6YBEiSetLJ7SuLrwdDPEyn0S1e5vR2mj4CmPaFb4rFexG8rgT4VIO/VordXqe9YaK7WtVZ0+ODsyAAUBFE+K1ekLt2VJl4zqsQ==</div>

Data Scientist

Microsoft

<div><div>We are seeking a dynamic and experienced Azure Solution Engineer Manager to lead a team of Azure Solution Engineers focused on driving cloud transformation and customer success. This role blends technical leadership, strategic vision, and customer engagement to deliver impactful Azure-based solutions across infrastructure, data, and AI workloads.</div><div></div><div><br>
As an <b>Azure Solution Engineer Manager,</b> you will lead a team of Azure Solution Engineers who act as trusted advisors to Microsoft&rsquo;s enterprise customers. Your mission is to guide customers through their Cloud &amp; AI transformation journey, helping them realize business priorities through tailored Azure solutions. This role blends technical depth, strategic leadership, and customer engagement to deliver impactful outcomes across infrastructure, data, and AI workloads.</div><div></div><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><ul><li><div><b>
Team Leadership &amp; Development</b></div><ul><li>
Lead and mentor a team of Azure Solution Engineers across Infra, Data, and AI domains.</li><li>
Foster a culture of innovation, collaboration, and continuous learning.</li><li>
Drive technical excellence and ensure alignment with Microsoft&rsquo;s strategic goals.</li></ul></li><li><div><b>
Customer Engagement</b></div><ul><li>
Own and manage technical milestones and conversion metrics (e.g., UC2C, win technical decisions).</li><li>
Engage directly with enterprise customers to understand business challenges and propose tailored Azure solutions.</li><li>
Ensure rapid value realization through robust customer success plans.</li></ul></li><li><div><b>
Solution Strategy &amp; Execution</b></div><ul><li>
Oversee the design and implementation of scalable, secure, and cost-effective Azure architectures.</li><li>
Collaborate with sales, product, and engineering teams to align solutions with business objectives.</li><li>
Drive pre-sales activities including envisioning workshops, demos, and technical briefings.</li></ul></li><li><div><b>
Operational Excellence</b></div><ul><li>
Manage project timelines, resource allocation, and risk mitigation.</li><li>
Ensure adherence to engineering standards and best practices.</li><li>
Track and report on team performance, customer satisfaction, and technical outcomes.</li></ul></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required qualifications:</b></div><div></div><div><b><br>
Education &amp; Experience</b></div><ul><li><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
5+ years in solutions engineering or cloud architecture.</li><li>
2+ years in a leadership or management role</li></ul></div></li></ul><div><b>
Technical Expertise</b></div><ul><li><div><ul><li>
Deep expertise in Microsoft Azure services including:<ul><li>
Azure Kubernetes Services (AKS)</li><li>
Azure Active Directory</li><li>
Virtual Machines, Storage, Networking</li><li>
Backup and Site Recovery</li></ul></li><li>
Strong understanding of AI, data platforms, and machine learning.</li><li>
Experience in migration from on-premise to cloud and cross-cloud transitions.</li><li>
Familiarity with Microsoft&rsquo;s technical intensity levels (L300&ndash;L400) and sales alignment models.</li></ul></div></li></ul><div><b>
Soft Skills</b></div><ul><li><div><ul><li>
Proven ability to lead technical teams and deliver customer-centric solutions.</li><li>
Excellent communication, presentation, and stakeholder management skills.</li><li>
Experience working with cross-functional teams and managing multiple projects.</li></ul></div></li></ul><h3 class="jobSectionHeader"><b>
</b></h3><h3 class="jobSectionHeader"><b>
Preferred Certifications</b></h3><ul><li>
AZ-104: Azure Administrator Associate</li><li>
AZ-305: Azure Solutions Architect Expert</li><li>
AZ-500: Azure Security Engineer Associate</li><li>
AZ-700: Azure Network Engineer Associate</li><li>
AI-102: Azure AI Engineer Associate</li><li>
DP-600: Microsoft Fabric Analytics Engineer</li></ul><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div><br /> <div id='job-id'>Job Id: YYoPFYf8mC6/qFSNjiZT2S7KXnFRhleXS3XE7X8XzvBI7pf8wOkNXW65nukMy4o9drVmwytVueD5i1H4OBIhaMcrsc35p0xUrlnsCl/GaIFYam8wb2r9sNyozudGCt4Ucha9AGqmWblqyTUBvH1iwRBqGC0sxm7neUOOuIbvrAwfzdHob7SKN39sKBe9e3E3ArHbA5Rpbo0RG4C9moqXge2+BzlpGQ==</div>

Solution Engineer Manager

<p></p><div><div><div><div><p>We are seeking a skilled Python Developer with experience in developing applications that utilize Generative AI (GenAI) capabilities and deep integration with Microsoft Azure services. The ideal candidate should have a strong foundation in Python, experience with GenAI libraries or APIs (like OpenAI, Azure OpenAI, LangChain, etc.), and the ability to build, deploy, and manage AI-powered solutions in the Azure ecosystem.
</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2></div><div><p>Bachelor's or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or a related field(or equivalent practical experience in Python and AI application development)
</p></div></div></div><h2 class="jobSectionHeader"><b>Job Location</b></h2></div><div></div><br /> <div id='job-id'>Job Id: GtYzzi21KodCKlm0CsS1JouYIT7p2TrO38QpUIZw7zUF2PLS9Xy5tvKn/EXKG0xyvec2BFCjII8s4o8+fzE2A/VAnrTNDFwlsep425HYJBHFbEaSRIxNQHZ5AdfaNP7LO+D9ayqW1P5EIQiVf/jOAnKntl3OABSryg==</div>

Lead Analyst - Dgtl. Trnf.

Research Infinite Solutions LLP

<p>We are looking for a highly motivated <b>GenAI Engineer</b> with strong hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. You&rsquo;ll help design, build, and extend digital products and creative applications that leverage the latest in LLM technologies.</p><p>You will play a lead role in product development &amp; offering AI services to clients, client onboarding, and delivery of cutting-edge AI solutions, working with a range of modern AI tools, cloud services, and frameworks.</p><p><b>Experience: 2 + Years</b><br/><b>Location:</b> Mohali, Punjab<br/><b>Work Mode:</b> On-site<br/><b>Timings:</b> 10:00 AM &ndash; 7:00 PM (Day Shift)<br/><b>Interview Mode:</b> Face-to-Face ( On-Site)<br/><b>Contact:</b> +91-9872993778 (Mon&ndash;Fri, 11 AM &ndash; 6 PM)</p><p><b>Key Responsibilities:</b></p><ul><li>Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision.</li><li>Develop, enhance, and scale digital products leveraging LLMs at their core.</li><li>Lead product development and operations teams to implement GenAI-based solutions.</li><li>Design and manage client onboarding, rollout, and adoption strategies.</li><li>Deliver and maintain enhancements based on client-specific needs.</li><li>Build and maintain RAG pipelines and LLM-based workflows for enterprise applications.</li><li>Manage LLMOps processes across the entire AI lifecycle (prompt design, fine-tuning, evaluation).</li><li>Work with cloud-based GenAI platforms (primarily Azure OpenAI, but also Google, AWS, etc.).</li><li>Implement API integrations, orchestration, and workflow automation.</li><li>Evaluate, fine-tune, and monitor performance of LLM outputs using observability tools.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field &mdash; or equivalent hands-on experience.</li><li>Minimum 2 years of hands-on experience in software development or applied machine learning.</li><li><b>Programming (preferred):</b> Python, JavaScript.</li><li><b>Voice AI:</b> ElevenLabs, Twilio, understanding of ASR (Automatic Speech Recognition) and NLU (Natural Language Understanding).</li><li><b>Automation/Integration:</b> n8n (or Make.com, Zapier, Activepieces), API integration (RESTful APIs, Webhooks), JSON.</li><li>Proficiency in Azure AI services, including:</li><li><b>Azure OpenAI</b> (GPT-4, Codex, etc.</li><li><b>Azure Machine Learning</b> for model development and deployment</li><li>Proven experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Claude, etc.).</li><li>Solid hands-on experience in building and deploying RAG pipelines.</li><li>Proficiency in Python and strong knowledge of Python ecosystems and libraries.</li><li>Familiarity with core GenAI frameworks: LangChain, LangGraph , LlamaIndex, etc.</li><li>Experience with vector databases: FAISS, Milvus, Azure AI Search, etc.</li><li>Practical knowledge of embeddings, model registries (e.g., Hugging Face), and LLM APIs.</li><li>Experience in prompt engineering, tool/function calling, and structured outputs (Pydantic/JSON Schema).</li><li>Exposure to LLM observability tools: LangSmith, LangFuse , etc.</li><li>Strong Git, API, and cloud platform (AWS, GCP, Azure) experience.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;25,000.00 - &#8377;40,000.00 per month</p><p>Schedule:</p><ul><li>Day shift</li><li>Monday to Friday</li></ul><p>Experience:</p><ul><li> Gen AI Engineer: 2 years (Preferred)</li></ul><p>Work Location: In person</p><br /> <div id='job-id'>Job Id: 09vVay8iXXxzBrJzFtOgmaMFKfUe3FG6UfREznj29kgQ4PUXveu+Bf9zGXMKVJGUWCaaCIUvQwD+VkYvfw7TQTCYqBwoBretZmxVhCWBsdgrP7CREA==</div>

Gen AI Engineer

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